•Utilized Python to clean and preprocess large datasets, achieving 98% reduction in duplicates, handling missing values (<1% remaining), and standardizing data formats for enhanced data quality and consistency.•Applied statistical methods and machine learning algorithms (e.g., linear regression, clustering) to forecast future market trends and consumer preferences, achieving a prediction accuracy of 85% that directly informed decision processes.•Developed interactive dashboards and… Show more •Utilized Python to clean and preprocess large datasets, achieving 98% reduction in duplicates, handling missing values (<1% remaining), and standardizing data formats for enhanced data quality and consistency.•Applied statistical methods and machine learning algorithms (e.g., linear regression, clustering) to forecast future market trends and consumer preferences, achieving a prediction accuracy of 85% that directly informed decision processes.•Developed interactive dashboards and reports using Power BI, incorporating over 20 visual elements to effectively communicate key market trends and insights. Facilitated easy data consumption and interpretation by stakeholders.•Enabled clients to adjust their marketing strategies and product development efforts, resulting in an average 15% increase in market share and a 20% boost in customer engagement within targeted segments. Show less

•Conducted over 20 in-depth interviews with stakeholders using JIRA for tracking and documenting business requirements, significantly enhancing project clarity and stakeholder consensus.•Designed and deployed 15+ interactive dashboards in Excel and Tableau, integrating over 30 SQL scripts and utilizing Power Query for data transformation and analysis, leading to a 20% improvement in business decision efficiency.•Utilized UML and Microsoft Visio to create comprehensive Use Case… Show more •Conducted over 20 in-depth interviews with stakeholders using JIRA for tracking and documenting business requirements, significantly enhancing project clarity and stakeholder consensus.•Designed and deployed 15+ interactive dashboards in Excel and Tableau, integrating over 30 SQL scripts and utilizing Power Query for data transformation and analysis, leading to a 20% improvement in business decision efficiency.•Utilized UML and Microsoft Visio to create comprehensive Use Case, Activity, and Data Flow Diagrams, clarifying complex business processes and improving documentation accuracy and project team alignment by 25%.•Mastered data presentation techniques by creating compelling visualizations in Tableau, and MS Excel, increasing stakeholder engagement and facilitating the communication of complex data insights to non-technical audiences.•Authored and executed advanced SQL queries in SQL Server and PostgreSQL to manipulate and analyze large datasets from data warehouses, enhancing data quality and accessibility for critical business operations and strategic initiatives.•Implemented machine learning models using Python and libraries such as pandas, NumPy, scikit-learn, and TensorFlow to derive predictive insights, optimizing decision-making processes. Show less

•Gathered, meticulously clean, and seamlessly integrate complex datasets from diverse sources such as databases, APIs, and file systems, ensuring data accuracy and completeness.•Conducted exploratory data analysis (EDA) using statistical methods and machine learning techniques to uncover intricate data patterns, trends, and anomalies, utilizing Python, NumPy, and Pandas to derive actionable insights.•Optimized relational databases SQL Server, designing efficient data schemas and… Show more •Gathered, meticulously clean, and seamlessly integrate complex datasets from diverse sources such as databases, APIs, and file systems, ensuring data accuracy and completeness.•Conducted exploratory data analysis (EDA) using statistical methods and machine learning techniques to uncover intricate data patterns, trends, and anomalies, utilizing Python, NumPy, and Pandas to derive actionable insights.•Optimized relational databases SQL Server, designing efficient data schemas and implementing indexing strategies to enhance data retrieval performance.•Created visually compelling and interactive dashboards and reports using industry-leading tools such as Power BI, facilitating intuitive data exploration and presentation of key findings to stakeholders.•Applied advanced statistical analysis techniques, including hypothesis testing and regression analysis, to extract meaningful insights and drive data-informed decision-making processes.•Developed and deployed sophisticated data models, utilizing SQL, Python, and Pandas for data transformation, ensuring data readiness for analytical processing and modeling. Show less